Pengwin — CS2 Stats

76561198055459439[U:1:95193711]

1,658Tracked matches55%Win rate2023Tracked since
1,324Hours in CS
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating10,954Blue band · top ~49.8% of ranked players (population est.)
CSDB Leaderboard#18884 of 26310 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate46.1%41.7%44.1%above
Shot accuracy10.9%8.8%11.4%0.5% short
Kill/death ratio1.020.971.03meets
Match win rate44.4%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGPengwinPREMIER10,954 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning57
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY40555Last 10040%Win rateLWLLWWWWWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression7.0
Utility5.4
Positioning5.7
Opening Duels2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.1
Positioning5.7
Utility5.4
Mechanics7.3
Opening Duels2.6
Win Impact6.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time665ms+22ms
first ⅓ avg 642ms → last ⅓ avg 665ms
Headshot accuracy18.5%+2.8%
first ⅓ avg 15.7% → last ⅓ avg 18.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.22Best rating — nuke 13–1
131Biggest win — anubis
5Longest win streak
69In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 67% over 6infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B28131546%-0.00
anubisC1761135%-0.01
cacheC145936%0.03
nukeB126650%0.02
mirageD113827%-0.01
infernoD92722%-0.03
overpassS64267%-0.02
ancient31233%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,168Lifetime kills
1.02K/D · Top 50% of Blue band
3,262Matches
44.4%Match win rate · Top 50% of Blue band
46.1%Headshot % · Top 50% of Blue band
10.9%Shot accuracy · Top 50% of Blue band
6,242MVPs
1,324Hours (in match)
4,708Bombs planted
767Bombs defused

Most-used weapons

Lifetime map wins

14,114dust2
2,859inferno
2,468nuke
943vertigo
396train
75cbble
20militia
18office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.5%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.0%Spray accuracy
82.9%Counter-strafing
9.6°Preaim
669msReaction time
41.2%T opening success
39.8%CT opening success
0.59Enemies flashed / flash
3.8%Flash assists
9.60HE damage / grenade
5.59Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.8215% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0821%26 Aug
anubis13–7-0.017%23 Aug
mirage11–130.0317%23 Aug
mirage9–130.0118%16 Aug
nuke13–30.0719%16 Aug
dust213–5-0.0222%15 Aug
cache13–70.0217%8 Aug
mirage13–8-0.029%8 Aug
dust24–2-0.0450%8 Aug
anubis9–13-0.0519%8 Aug
anubis13–10.0317%8 Aug
nuke11–13-0.0418%8 Aug
cache13–30.0822%8 Aug
nuke7–13-0.0315%8 Aug
mirage13–9-0.059%8 Aug
inferno13–9-0.0724%22 Jul
dust210–13-0.0621%22 Jul
dust213–60.0628%20 Jul
dust213–70.0415%20 Jul
anubis16–130.0916%15 Jul
dust28–13-0.0415%15 Jul
ancient15–15-0.0311%15 Jul
anubis5–130.0218%15 Jul
nuke13–60.0714%15 Jul
dust210–130.0516%15 Jul
cache13–50.1628%15 Jul
nuke13–10.2223%14 Jul
dust28–130.0116%14 Jul
nuke8–130.0714%14 Jul
dust24–130.0318%14 Jul
dust216–140.0020%14 Jul
anubis13–40.0422%14 Jul
mirage6–13-0.0111%12 Jul
nuke9–13-0.0420%11 Jul
cache13–6-0.0512%11 Jul
inferno13–6-0.0112%11 Jul
dust213–50.0714%11 Jul
dust213–10-0.0415%11 Jul
dust24–13-0.0415%11 Jul
anubis8–13-0.0122%11 Jul
anubis9–130.0425%10 Jul
mirage14–16-0.0412%10 Jul
cache5–130.0622%10 Jul
nuke16–14-0.0516%29 Jun
inferno14–16-0.0914%29 Jun
anubis3–13-0.0811%29 Jun
nuke13–50.0218%29 Jun
dust215–15-0.0518%29 Jun
dust213–4-0.0117%28 Jun
dust213–70.0030%28 Jun
dust212–16-0.0223%26 Jun
overpass13–110.0116%26 Jun
overpass13–80.0126%26 Jun
mirage6–13-0.0514%9 Jun
cache10–130.0825%9 Jun
cache7–130.0115%9 Jun
cache10–130.0521%9 Jun
inferno4–130.0214%7 Jun
dust216–120.0113%7 Jun
anubis5–13-0.0013%7 Jun
dust210–13-0.0422%7 Jun
overpass13–8-0.0416%6 Jun
dust215–15-0.0316%6 Jun
dust213–11-0.0320%6 Jun
mirage13–60.0419%6 Jun
ancient7–13-0.0418%6 Jun
dust213–30.0827%6 Jun
dust210–13-0.0116%2 Jun
overpass16–14-0.0116%1 Jun
dust29–13-0.0418%1 Jun
ancient13–70.0923%31 May
inferno14–16-0.0414%31 May
cache7–13-0.058%31 May
anubis11–13-0.0712%29 May
anubis13–9-0.0719%19 May
anubis10–13-0.046%19 May
overpass5–13-0.0713%18 May
dust211–130.0113%18 May
nuke13–70.0515%8 May
inferno9–13-0.057%8 May
overpass9–13-0.0325%7 May
anubis11–130.0513%7 May
dust215–150.0527%7 May
cache7–13-0.056%5 May
cache1–13-0.0322%29 Apr
cache13–70.1114%29 Apr
cache10–130.0515%29 Apr
cache8–13-0.0611%29 Apr
inferno8–13-0.0616%25 Apr
inferno15–150.0616%25 Apr
mirage8–130.0013%25 Apr
mirage10–130.0311%8 Apr
nuke3–13-0.0414%8 Apr
anubis13–16-0.0212%3 Apr
dust211–13-0.0718%1 Apr
inferno8–13-0.0621%1 Apr
nuke10–13-0.0021%1 Apr
dust213–9-0.0138%1 Apr
anubis13–6-0.0116%31 Mar
anubis9–13-0.0212%27 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →